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Building farmers' capacity for innovation generation: Insights from rural Ghana

Published online by Cambridge University Press:  09 January 2017

Justice A. Tambo  and
Tobias Wünscher
Justice A. Tambo*
Affiliation:
Center for Development Research (ZEF), University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany.
Tobias Wünscher
Affiliation:
Center for Development Research (ZEF), University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany.
*
*Corresponding author: [email protected]; [email protected]
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Abstract

Innovation is essential for agricultural and economic development, especially in today's rapidly changing global environment. While farmers have been recognized as innovation generators, many innovation studies continue to consider them as recipients or adopters of externally promoted innovations only. Based on household data from Ghana, this study, in contrast, investigates the innovation-generating behavior among rural farmers. Inspired by two innovation theories—induced innovation and innovation systems—we specifically focus on how to build the capacity of farmers to generate innovations. Controlling for selection bias, we show that participation in farmer field fora (FFF), a participatory extension approach, can play a positive role in strengthening farmers' innovation-generating capacity. Specifically, we show that FFF participants have about 27% higher probability of generating innovations than non-participants, and FFF participation appears to increase the number of innovation-generating practices implemented by a farm household by about 49%. However, we do not find significant spillover effects of FFF on the innovation-generating capacity of non-participants, which has implications for the cost-effectiveness of the FFF program. The results also indicate that education and risk preference are important drivers of farmers' innovations. We conclude that policies for the generation of innovations among farmers should focus on building innovation capacity through institutional arrangements that permit interactions and learning between stakeholders.

Keywords

farmer field forafarmer innovationselection biasspillover effectGhana
Type
Research Papers
Information
Renewable Agriculture and Food Systems , Volume 33 , Issue 2 , April 2018 , pp. 116 - 130
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Copyright
Copyright © Cambridge University Press 2017 

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References

Bentley, J.W. 2006. Folk experiments. Agriculture and Human Values 23:451–462.Google Scholar
Biggs, S.D. and Clay, E.J. 1981. Sources of innovation in agricultural technology. World Development 9:321–336.Google Scholar
Binswanger, H.P. 1980. Attitudes toward risk, experimental measurement in rural India. American Journal of Agricultural Economics 62:395–407.Google Scholar
Caliendo, M. and Kopeinig, S. 2008. Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys 22:31–72.Google Scholar
Davis, K., Nkonya, E., Kato, E., Mekonnen, D.A., Odendo, M., Miiro, R., and Nkuba, J. 2012. Impact of farmer field schools on agricultural productivity and poverty in East Africa. World Development 40:402–413.Google Scholar
Erbaugh, M.J., Donnermeyer, J.F., Amujal, M., and Kidoido, M. 2010. Assessing the impact of farmer field school participation on IPM adoption in Uganda. Journal of International Agricultural and Extension Education 17:5–18.Google Scholar
Evenson, R.E. and Gollin, D. 2003. Assessing the impact of the Green Revolution, 1960 to 2000. Science 300:758–762.Google Scholar
Feder, G., Just, R.E., and Zilberman, D. 1985. Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change 33:255–298.CrossRefGoogle Scholar
Feder, G., Murgai, R., and Quizon, J.B. 2004a. The acquisition and diffusion of knowledge: The case of pest management training in farmer field schools, Indonesia. Journal of Agricultural Economics 55:221–243.Google Scholar
Feder, G., Murgai, R., and Quizon, J.B. 2004b. Sending farmers back to school: the impact of farmer field schools in Indonesia. Review of Agricultural Economics 26:45–62.Google Scholar
Filmer, D. and Pritchett, L.H. 2001. Estimating wealth effect without expenditure data-or tears: an application to educational enrolments in states of India. Demography 38:115–132.Google Scholar
Fischer, E. and Qaim, M. 2012. Gender, agricultural commercialization, and collective action in Kenya. Food Security 4:441–453.Google Scholar
Friis-Hansen, E. and Duveskog, D. 2012. The empowerment route to well-being: an analysis of farmer field schools in East Africa. World Development 40:414–427.Google Scholar
Gbadugui, B.J. and Coulibaly, O. 2013. PRONAF's Farmer Field Fora FFF. MEAS HRD Case Study Series, # 2. International Institute of Tropical Agriculture, Cotonou.Google Scholar
Goldman, A. 1993. Agricultural innovation in three areas of Kenya: Neo-Boserupian theories and regional characterization. Economic Geography 69:44–71.Google Scholar
Harrison, G.W. and Rutström, E.E. 2008. Risk aversion in the laboratory. Research in Experimental Economics 12:41–196.Google Scholar
Hayami, Y. and Ruttan, V.W. 1985. Agricultural Development: An International Perspective (Revised and Expanded). Johns Hopkins University Press, Baltimore.Google Scholar
Jalan, J. and Ravallion, M. 2003. Does piped water reduce diarrhea for children in rural India? Journal of Econometrics 112:153–173.Google Scholar
Leitgeb, F., Kummer, S., Funes-Monzote, F.R., and Vog, C.R. 2014. Farmers’ experiments in Cuba. Renewable Agriculture and Food Systems 29:48–64.Google Scholar
Macmillan, T. and Benton, T.G. 2014. Engage farmers in research. Nature 509:25–27.Google Scholar
Masset, E. and Haddad, L. 2015. Does beneficiary farmer feedback improve project performance? An impact study of a participatory monitoring intervention in Mindanao, Philippines. The Journal of Development Studies 51:287–304.Google Scholar
Miranda, A. and Rabe-Hesketh, S. 2006. Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables. The Stata Journal 6:285–308.CrossRefGoogle Scholar
Nederlof, S., Wongtschowski, M., and van der Lee, F. (eds). 2011. Putting Heads Together. Agricultural Innovation Platforms in Practice. Bulletin 396. KIT Publishers, Amsterdam.Google Scholar
Reij, C. and Waters-Bayer, A. (eds). 2001. Farmer Innovation in Africa: A Source of Inspiration for Agricultural Development. Earthscan, London.Google Scholar
Rhoades, R. 1989. The role of farmers in the creation of agricultural technology. In R. Chambers, A. Pacey, and L.A. Thrupp (eds). Farmers First: Farmer Innovation and Agricultural Research. Intermediate Technical Publications, London, p. 3–9.Google Scholar
Rola, A.C., Jamais, S.B., and Quizon, J.B. 2002. Do farmer field school graduates retain and share what they learn? An investigation in Iloilo, Philippines. Journal of International Agricultural and Extension Education 9:65–76.CrossRefGoogle Scholar
Röling, N. 2009a. Pathways for impact: Scientists’ different perspectives on agricultural innovation. International Journal of Agricultural Sustainability 7:83–94.CrossRefGoogle Scholar
Röling, N. 2009b. Conceptual and methodological developments in innovation. In: P. Sanginga, A. Waters-Bayer, S. Kaaria, J. Njuki, and C. Wettasinha (eds). Innovation Africa: Enriching Farmers' Livelihoods. Earthscan, London, p. 9–34.Google Scholar
Rosenbaum, P. and Rubin, D. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70:41–55.Google Scholar
Rosenbaum, P.R. 2002. Observational Studies. 2nd ed. Springer, New York.Google Scholar
Runge-Metzger, A. and Diehl, L. 1993. Farm household systems in northern Ghana. A case study in farming systems oriented research for the development of improved crop production systems. Nyankpala Agricultural Research Report No. 9.Google Scholar
Ruthenberg, H. 1971. Farming Systems in the Tropics. Clarendon Press, Oxford.Google Scholar
Sanginga, P., Waters Bayer, A., Kaaria, S., Njuki, J., and Wettasinha, C. (eds). 2009. Innovation Africa: Enriching Farmers’ Livelihoods. Earthscan, London.Google Scholar
Scoones, I. and Thompson, J. (eds). 2009. Farmer First Revisited: Innovation for Agricultural Research and Development. Practical Action Publishing, Bourton on Dunsmore.Google Scholar
Spielman, D.J. 2005. Innovation Systems Perspectives on Developing-Agriculture: A Critical Appraisal. ISNAR Discussion Paper 2. International Food Policy Research Institute IFPRI, Washington, DC.Google Scholar
Sunding, D.L. and Zilberman, D. 2001. The agricultural innovation process: research and technology adoption in a changing agricultural sector. In Gardner, B. and Rausser, G. (eds). Handbook of Agricultural and Resource Economics, Handbook of Agricultural and Resource Economics. Elsevier, Amsterdam, Vol. 1. Chapter 4, p. 207–261.Google Scholar
Tambo, J.A. and Abdoulaye, T. 2012. Climate change and agricultural technology adoption: The case of drought tolerant maize in rural Nigeria. Mitigation and Adaptation Strategies for Global Change 17:277–292.CrossRefGoogle Scholar
Tambo, J.A. and Wünscher, T. 2015. Identification and prioritization of farmers’ innovations in northern Ghana. Renewable Agriculture and Food Systems 30:537–549.Google Scholar
Tambo, J.A. and Wünscher, T. 2016. Beyond Adoption: Welfare Effects of Farmer Innovation Behaviour in Ghana. ZEF—Discussion Papers on Development Policy No. 216, Center for Development Research, Bonn.Google Scholar
Tripp, R., Wijeratne, M., and Piyadasa, V.H. 2005. What should we expect from farmer field schools? A Sri Lanka case study. World Development 33:1705–1720.Google Scholar
Waters-Bayer, A. and Bayer, W. 2009. Enhancing local innovation to improve water productivity in crop–livestock systems. The Rangeland Journal 31:231–235.CrossRefGoogle Scholar
Waters-Bayer, A., van Veldhuizen, L., Wongtschowski, M., and Wettasinha, C. 2009. Recognizing and enhancing processes of local innovation. In P. Sanginga, A. Waters-Bayer, S. Kaaria, J. Njuki, and C. Wettasinha (eds). Innovation Africa: Enriching Farmers’ Livelihoods. Earthscan, London, p. 239–254.Google Scholar
World Bank 2011. Agricultural Innovation Systems: An Investment Source Book. World Bank, Washington, DC.Google Scholar